Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nadya Shalamova, Milwaukee School of Engineering; Olga Imas, Milwaukee School of Engineering; James Lembke; Maria Pares-Toral, Milwaukee School of Engineering; Derek David Riley, Milwaukee School of Engineering; Daniel Bergen, Milwaukee School of Engineering

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Computers in Education Division (COED)

, biomedical engineering, business and more. It also involves integrating AI tools intothe curriculum and pedagogy, enhancing personalized student learning through AI, andpromoting AI innovation through research, industry and community engagements. Furthermore,it entails continuously evaluating the impact of applied AI on institutional outcomes and refiningthe path for applied AI integration.The rAIder Strategy offers a phased AI adoption plan that balances short-term goals with long-term objectives, focusing on curriculum and pedagogy, academic productivity, interdisciplinarylearning, and ethical governance. This paper outlines the strategy and early progress at MSOE,which aims to build AI literacy across all disciplines. Early results suggest this

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver; Marina Milner-Bolotin, University of British Columbia, Vancouver

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Computers in Education Division (COED)

[3-5] with research conducted in Scotland and Australia serving as our primaryreferences, and examples from Canada. For instance, the General Teaching Council for Scotland[6] underlines the importance of reflection by providing opportunities for future teachers toreflect on and act to improve their own professional practice. In addition, the Australian Instituteof Teacher and School Leadership [7] requires all ITE programs to implement a teachingperformance assessment that includes a reflection of classroom teaching practice including theelements of planning, teaching, assessing, and reflecting. In Canada, the Association of CanadianDeans of Education’s General Accord [8] strongly emphasizes the importance of reflection inITE programs

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Valerie A. Carr, San Jose State University; Jennifer Avena, San Jose State University; David Schuster, San Jose State University; Wendy Lee, San Jose State University; Belle Wei, San Jose State University

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Computers in Education Division (COED)

learningcommunity (FLC) with a local two-year institution to foster a collaborative community andsupport faculty in adopting APEX materials, which included helping them to consider, plan,apply, and reflect on effective practices for integrating computing into their courses. Buildingupon these pilot efforts, we are actively expanding adoption of the APEX program in severalways. First, we have begun holding summer and winter training workshops for faculty at severaladditional community colleges. Second, we are refining and improving the FLC experience aswe initiate new FLCs with these institutional partners. Finally, we will continue to assess theprogram’s efficacy through a research plan that evaluates student and faculty experiences,allowing us to optimize

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ankunda Kiremire, Louisiana Tech University; Kevin A Cherry, Louisiana Tech University

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Computers in Education Division (COED)

Datastorm challenges. We also plan to host annual full-day Datastormevents, which should provide visibility and outreach opportunities to other undergraduate studentsat our institution as well as highlight the relevance of the Computer Science program to thegeneral public.IntroductionComputer Science and computing based majors in general suffer from a variety of issues at theuniversity level.One of those issues is high drop out rates. The level of attrition in Computer Science is reportedto be between 9.8% [1] and 28% [2]. This represents both a direct loss in terms of students notcompleting the major as well as an indirect loss in terms of students not encouraged to pursue itbecause of a perceived difficulty given its high withdrawal rates.Figure

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Safia A. Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University

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slow its inclusion into this field of study. This paper proposes the Dataying framework to teach data science concepts to young children ages 4–7 years old. The framework development included identifying K–12 data science elements and then validating element suitability for young students. Six cycled steps were identified: identifying a problem, questioning, imagining and planning, collecting, analyzing, and story sharing. This paper also presents examples of data decision problems and demonstrates use of a proposed Insight- Detective method with a plan worksheet for Dataying.IntroductionThe expected growth of data science careers worldwide over the next ten years means thatstudents of all ages

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Anthony Cortez, Point Loma Nazarene University; Paul Schmelzenbach, Point Loma Nazarene University

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-solving approaches, observed commonpitfalls in AI usage in basic programming tasks, and identified patterns that can inform ourpedagogy.2 MethodsA. Classroom Information and Experimental OverviewAn introductory engineering course consisting of 21 students completed a series of assignmentsthat involved the use of ChatGPT and Claude in an effort to gain insight into studentmetacognition and problem-solving patterns. Specifically, we examined metacognitive aspectsincluding planning behaviors (time spent reviewing problems before coding), self-monitoring(recognition and correction of errors), and resource utilization strategies (documentation usagepatterns and LLM interaction methods).This study used a two-part experimental design to examine

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Valerie A Carr, San Jose State University; Jennifer Avena, University of Northern Colorado; Maureen Smith; Wendy Lee, San Jose State University; David Schuster, San Jose State University; Belle Wei, San Jose State University

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Computers in Education Division (COED)

formatted as GoogleColaboratory notebooks that are publicly available on GitHub (Python training for instructors;Biology modules; Statistics modules). APEX biology modules include case studies on sickle cellanemia and breast cancer and three shorter data analysis modules. Eighteen APEX statisticsmodules span topics ranging from data and measurement to sampling and hypothesis testing. Aswe refine and expand our materials, we are also assessing the program’s efficacy by surveyingboth instructors and students. The aim of this work-in-progress paper is to conduct a preliminaryexamination of whether and how student perceptions of interdisciplinary computing change as aresult of engaging with APEX biology and statistics modules.MethodsFaculty who planned

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver

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Computers in Education Division (COED)

, how can theintegration of educational technology enhance PSTs' engagement with their local communitiesand broader climate challenges?In the 12-week course, I introduced the 100-mile diet during the first two sessions to preparePSTs for their project planning. PSTs individually or in groups designed and implemented theirown versions of the diet, analyzing its impact on carbon footprints and ecosystems. Theydocumented their work over two to four weeks using technology tools like digital diaries, socialmedia vlogs, Google Suite, Excel, and multimedia presentations. Over three academic terms(2022-2024), I collected 55 adaptations, eventually narrowing them to 26 unique examples basedon originality, depth of analysis, and alignment with assignment

Conference Session

COED: AI and ML Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa Ansaf, Colorado State University, Pueblo

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2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is As- sociate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV. ©American Society for Engineering Education, 2023 Engaging High School Teachers in Artificial Intelligence Concepts and ApplicationsIntroduction and Justification Artificial

Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lily Rui Liang, University of the District of Columbia; Rui Kang; Carlos Sac Mendoza, University of the District of Columbia

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Computers in Education Division (COED)

materials[5]: 1) a lesson plan for using the Worldin K-12 classrooms or higher education outreach activities, 2) instructions and video clips onhow to download, host, and play the game and how to use the example source code, and 3)source code for creating architecture examples in the World.EvaluationTo investigate the effectiveness of the World on increasing K-12 students' interests incomputing, we first invited three high school students to play a prototype of the Lafayette ParkWorld game and asked for their feedback. After refining it according to their suggestions, weoffered a programming workshop to K-12 students, using the World, and collected survey andinterview data. The workshop was one and a half hours long and was implemented following

Conference Session

Computers in Education Division (COED) Track 5.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jina Wilde, The University of Texas at San Antonio; Michael Zawatski, The University of Texas at San Antonio; Darean Wilde, The University of Texas at San Antonio; Emiliano Beltran, The University of Texas at San Antonio; Amanda S. Fernandez, The University of Texas at San Antonio; Timothy Yuen, The University of Texas at San Antonio

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Applications 11. Making and Microcontrollers (projects)* 12. Mobile Application Development (projects)* 13. Game Development with Unity and C# (projects)* 14. CS Teacher Certification Test PreparationSummer Institute with Youth Code Jam. CS4SA began with a three-week Summer Institute,where teachers were introduced to foundational CS topics, lessons, and culturally responsivepedagogy, alongside learning fundamental Java programming concepts using BlueJ, abeginner-friendly development environment [21]. Teachers engaged with the modules, completedprogramming exercises, discussed broadening participation in CS, and planned classroomactivities. As shown in Figure 3, one of the early exercises in the Data Structures (with BlueJ)module involved

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jim Sosnowski, University of Illinois Urbana-Champaign; Julie M Baker, University of Illinois Urbana-Champaign; Olivia Arnold, University of Illinois Urbana-Champaign; Mariana Silva, University of Illinois Urbana-Champaign; David Mussulman, University of Illinois Urbana-Champaign; Craig Zilles, University of Illinois Urbana-Champaign; Matthew West, University of Illinois Urbana-Champaign

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Computers in Education Division (COED)

coordinator grew to be larger than one person could manageresulting in the position being split. The coordinator was promoted to assistant director, and anoffice support specialist was promoted to coordinator. Under this new administrative hierarchy,the assistant director was charged with focusing on long-term planning, supporting faculty, andcoordinating with units across campus, while the oversight of daily operations became theresponsibility of the coordinator. The CBTF assistant director takes input from an advisorycommittee of faculty and students and also consults with a student committee for feedback.Expanding Testing Capacity The CBTF is one of the most heavily utilized spaces on campusand we regularly receive inquiries from courses

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Daniel A. Tillman, University of Texas, El Paso; Wei Yan, Texas A&M University; Song An, University of Texas, El Paso; Jeffrey Liew, Texas A&M University; Kien H. Lim; Lisa Garbrecht, University of Texas, Austin; Philip B. Yasskin

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Computers in Education Division (COED)

students withmathematical concepts necessary to learning spatial transformations and allied mathematicalrepresentations. The project will also provide the foundation for planned further research addinga language-processing component to an AI for high school students, which would be trained on alarge dataset of common high school math topics and language used by students. To ensurerigorous evaluation of the project, the research team will anticipate confounding factors so as tominimize their effects, and two learning conditions (AI-powered and non-AI) will be employedand compared with the same essential visualization and functional manipulation, thus advancinginstruction that applies across multiple STEM disciplines. The project will create a

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yael Gertner, University of Illinois Urbana-Champaign; Juan Alvarez, University of Illinois Urbana-Champaign; Benjamin Cosman, University of Illinois Urbana-Champaign; Jennifer R Amos, University of Illinois Urbana-Champaign

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think this class is goingto be boring”, ”I think this class is going to be enjoyable”, ”I think that I am going to bepretty good at this class”, ”This is a class that I cannot do very well in”.Value was measured in Survey 1. It is a measure based on participants’ intrinsic motivationdesigned based on self-determination theory [1]. It focuses on the aspect of motivation thatcomes from the importance and effort that they attribute to this class. Students respond ona 5 point Likert scale of “Strongly agree” to “Strongly Disagree” to the following questionsand the measure corresponds to the average of the answers. ”I plan to put a lot of effortinto this class”, ”It is important to me to do well in this class”, ”I believe this class couldbe of some

Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jason M. Keith, Iowa State University of Science and Technology; Jason Coleman, Kansas State University; Lis Pankl, Mississippi State University

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Computers in Education Division (COED)

academiccolleges. This enrollment included 25,628 undergraduate, 4,170 graduate and 634 professionalstudents. Of this total, 53% were Iowa residents and nearly 61% were enrolled in a STEM major.Female students accounted for nearly 45% of the undergraduate population, over 44% of thegraduate students, and over 83% of the professional students. Enrollments have continued toincrease in business and in engineering. The university reported over $420MM in research anddevelopment expenditures in the FY 2023 Higher Education Research and Development survey.The university’s mission is to create, share and apply knowledge to make our students, Iowa andthe world better. The strategic plan is built upon four pillars: innovative solutions, educationexperience

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Phyllis J. Beck, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

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fl fl fl flcan leave a lot of problem-solving to be completed in the coding phase where a participant mayneed more time to complete the project or run into unanticipated problems.3.4 Design Cohesion and Granularity LevelAfter applying the alignment notation to each of the exercise samples we determined that DesignCohesion could be classified as low, medium, or high. A low level of design cohesion canindicate a low level of metacognition and ability to plan prior to implementing a programmingsolution. It may also represent a lack of attention to the planning phase, where a

Conference Session

Computer Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Timothy Sellers, Mississippi State University; Tingjun Lei, Mississippi State University; Chaomin Luo, Mississippi State University; Gene Eu Jan; Zhuming Bi, Purdue University, Fort Wayne

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, where he also served as the Dean of the College of Electrical Engineering and Computer Science from 2007 to 2009. Currently, he is the president of Tainan National University of the Arts. He has published more than 270 articles related to parallel computer systems, interconnection networks, path planning, electronic design automation, and VLSI systems design in journals, conference proceedings, and books.Prof. Zhuming Bi, Purdue University, Fort Wayne Zhuming Bi (Senior Member, IEEE) received the Ph.D. degree from the Harbin Institute of Technology, Harbin, China, in 1994, and the Ph.D. degree from the University of Saskatchewan, Saskatoon, SK, Canada, in 2002. He has international work experience in Mainland China

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Evelyn Sowells-Boone, North Carolina A&T State University; Pal Dave, North Carolina A&T State University

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Computers in Education Division (COED)

involvedinstructors and students from a variety of STEM fields.The symposium was carefully planned to provide a vibrant, inclusive setting where attendeesmay showcase their work, network, and share ideas. It included a wide range of events, such asinteractive workshops, high school project exhibits, keynote addresses, and student posterpresentations. Together, these components demonstrated the program's capacity to inspire andretain students while demonstrating the depth and scope of current scientific, technological,engineering, and mathematical research.The chance for students at all levels—high school, undergraduate, and doctoral—to present theirresearch was one of the symposium's most notable features. The event, which included 50 highschool children, 32

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nathan H Bean, Kansas State University; Joshua Levi Weese, Kansas State University; Russell Feldhausen, Kansas State University; Michelle Friend, University of Nebraska - Omaha; Friday Emmanuel James, Kansas State University; David S. Allen, Kansas State University

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Computers in Education Division (COED)

data collected by the High School Longitudinal Study of 2009(HSLS:09) conducted by the National Center for Educational Statistics (NCES). This com-prehensive longitudinal quantitative study involves base and follow-up surveys throughoutsecondary and post-secondary years (the first follow-up was in 2012, the second in 2016, andpost-secondary transcripts were collected in 2017-18) [19]. The longitudinal nature of thisstudy allows us to address questions about students’ transition to and persistence withintheir post-secondary studies — our variables of interest are derived from the 2016 secondfollow-up instrument.Sampling Plan HSLS:09 utilizes two-stage sampling. In the first stage, public and privateschools were selected with stratified random

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Abigail Dina; Mariah McMichael; Theodore Wimberly Jr.; Lauren Brown; Krystal L. Williams, University of Georgia

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Computers in Education Division (COED)

this study were these students’ plan of preparation to practice fortechnical interviews, and whether anxiety played an integral role during their participation fortechnical interviews. From this work, it was found that anxiety was an underlying factor thatcould determine a student’s overall performance in an interview. It was also concluded that asstudents become more exposed to technical interview practices their anxiety decreases, while inturn their overall performance increases.3. MethodThe objective of the interactive whiteboard problem solving study is to examine the students’ability to conduct critical thinking, verbally communicate their ideas, and create solutions to agiven problem. So far, this assessment has been conducted over a

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

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Computers in Education Division (COED)

studies should be done to compare students’ performanceduring several semesters with and without the use of GAI tools, particularly isolating differentcourse assessment components where the student’s performance metrics were most influenced byGAI use. Also, as ethical concerns surrounding GAI persist, future studies should delve deeperinto the issues of AI-assisted plagiarism, algorithmic bias, transparency, equity, data privacy, andsecurity in engineering education learning and instruction.References[1] “What is Instructional Design? | ATD.” Accessed: Jan. 18, 2024. [Online]. Available: https://www.td.org/talent-development-glossary-terms/what-is-instructional-design[2] “MagicSchool.ai - AI for teachers - lesson planning and more!” Accessed

Conference Session

Computers in Education Division (COED) Track 6.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Shana Shaw, Texas A&M University; L. Taylor Starr, Texas A&M University; laila badran, Texas A&M University

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Computers in Education Division (COED)

, industry skills are taught in senior-level capstoneclasses [5] and a compelling effort within engineering education is to reduce the mismatchbetween industry needs and student preparedness [1], [2]. Engineering students will be bettertrained to enter industry if more industry skills are taught starting in the first year of anundergraduate degree rather than the traditional senior-level focus to increase student’s fluencyin their professional skills. Students feel more prepared to enter the engineering industry if theyhave been taught both the technical and professional skills throughout their entire undergraduatedegree plan [2]. Therefore, it is important to study professional skills in engineering educationprograms; the earlier in the degree plan

Conference Session

Computers in Education Division (COED) Track 6.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Raymond Deji Olamijulo, Morgan State University; Kingsley Matthew, Morgan State University; Oluwafemi Samuel Ifesanmi, Morgan State University; Abiola Olayinka Ajala, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

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Computers in Education Division (COED)

the curriculum at HBCUs. One of the main hurdlesis the limited resources that many HBCUs face, including outdated technology and a lack offunding for game development or acquisition [9]. For GBL to be effective, schools need the righttools and infrastructure, as well as support for teachers who need to be trained in how to use thesenew methods. However, with funding often tight at HBCUs, it might not always be feasible toinvest heavily in new technologies. Another concern is making sure that games align well withcourse objectives and aren’t just flashy distractions. Educators have to carefully plan how gamesfit into the curriculum without compromising on the quality of the content [10]. Plus, not everystudent will respond to game-based

Conference Session

Computers in Education Division (COED) Track 5.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tony Malayil, Florida Atlantic University; Daniel Raviv, Florida Atlantic University; Juan David Yepes, Florida Atlantic University

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Computers in Education Division (COED)

content,teach it as if to a child, fill the gaps in understanding or explanation, and further simplify [5].This technique was loosely adapted to evaluate the student’s understanding of instructions andconcepts. The new steps were the following: a. Study research material and instructions related to the upcoming week’s tasks. b. Reteach material and instructions back to the group in your own words, signaling comprehension. c. Pose questions and incorporate feedback to fill gaps in student’s understanding. d. Develop and solidify a plan for the upcoming week based on refined understanding. The student was also encouraged to focus on the foundational concepts from the initialpapers and constantly realign his plan with the goal of

Conference Session

Computers in Education Division (COED) Track 3.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Muhammad Naveed Aman, University of Nebraska - Lincoln; Moomal Bukhari, University of Nebraska - Lincoln; Eric Clarence Einspahr, University of Nebraska - Lincoln; Jena Shafai Asgarpoor, University of Nebraska - Lincoln; Bhuvaneswari Gopal, University of Nebraska - Lincoln

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Computers in Education Division (COED)

environment. In this section we discuss prior literature pertaining to both thesetopics.Contextual learning was used in a prior study that emphasized practical applications pertinent tothe area of mechanical engineering by including conservation education into an internshippreparation course [16]. This strategy sought to enhance student learning outcomes and promoteconservation-based behaviors, emphasizing the influence of discipline-specific, useful content onbehavior and student engagement. In another study contextual learning was used by the ChildrenDesigning & Engineering (CD&E) Project, which incorporated design-and-make activities intoK–5 lesson plans that linked science, math, and technology to real-world scenarios modeled afterNew

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Valerie Elise Sullivan, University at Buffalo, The State University of New York; Rachel N. Bonnette, University at Buffalo, The State University of New York

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Computers in Education Division (COED)

materialis relevant to students. These practices stimulate interest and establish application to theirComputer Science field and careers. Instructors can guide student learning to develop technicalskills and demonstrate the expected education objectives by teaching the value or purpose of thecomputing curriculum. Professors often do not provide a clear idea of what material is covered and when, which complicates planning. If there were a clearer definition of topics covered on a calendar, then it would be simpler to plan.Avery, a Computer Science student who told the team they identify as having Attention-DeficitHyperactivity Disorder, reflects on frustrating experiences with the ambiguity of the instructor’sdelivery. Instructors

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

John K. Estell, Ohio Northern University; Lisa Graham Robeson, Ohio Northern University; Ye Hong, Ohio Northern University; Stephany Coffman-Wolph, Ohio Northern University

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Computers in Education Division (COED)

First-Year Programs (FPD) and Computers in Education (CoED) divisions, and with the Ad Hoc Committee on Interdivisional Cooperation, Interdivisional Town Hall Planning Committee, ASEE Active, and the Commission on Diversity, Equity, and Inclusion. Estell has received multiple ASEE Annual Conference Best Paper awards from the Computers in Education, First-Year Programs, and Design in Engineering Education Divisions. He has also been recognized by ASEE as the recipient of the 2005 Merl K. Miller Award and by the Kern Entrepreneurial Engineering Network (KEEN) with the 2018 ASEE Best Card Award. Estell received the First-Year Programs Division’s Distinguished Service Award in 2019 and the 2022 Computers in Education

Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Manuel A. Pérez-Quiñones, University of North Carolina; Debarati Basu, Embry Riddle Aeronautical University

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Computers in Education Division (COED)

tounderfunded schools to raise the bar for all) makes it difficult to properly set policies. In theirblog, they close by saying “This is why we advocate the dual aspirations of raising the bar andclosing the gaps” [4].In the CS Education community, we need more resources to help teach the students the differencebetween equity and equality. A lesson plan [6] by Just Health Action helps participantsunderstand the difference between equity and equality. This is based on work done by EquityMatters3 , a Seattle, Washington-based women of color consulting team. We encourage thecommunity to create more lesson plans like this one, where we can further explore the distinctionbetween equity and equality in ways that are specific to our field. Others in CS are

Conference Session

Computers in Education Division (COED) Track 4.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Safia Malallah, Kansas State University; Ejiro U Osiobe; Lior Shamir, Kansas State University; David S. Allen, Kansas State University

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Computers in Education Division (COED)

education [11].Dataying – Data Science literacy for Early ChildhoodMalallah proposed a dataying framework to teach data science concepts to young children ages4–7 years old. The framework development included identifying K–12 data science elementsand then validating element suitability for young students. Six cycled steps were identified:identifying a problem, questioning, imagining and planning, collecting, analyzing, and storysharing [12]. This paper utilizes the dataying framework to develop data science missionswithin the VW environment. Figure 4. Dataying [13] Figure 5. Coding [14]Coding literacy for Early ChildhoodCoding for young children introduces programming concepts tailored to their

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Neha B. Raikar, University of Maryland Baltimore County; Nilanjan Banerjee

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Computers in Education Division (COED)

anonymity [8]. However, thereare no tools, to the best of our knowledge, that can allow anonymous grading for in-class paperexams and quizzes which form a majority of exams on campus.Approach and Plan of WorkOur proposed work has three distinct components listed below.● Development of a mobile system that helps instructors perform anonymous grading for paper exams● Data collection in courses and statistical analysis to understand grade differences using anonymous and non-anonymous grading.● Self-reporting data collection to understand the student and faculty perspective on anonymous grading.Mobile system that helps instructors perform anonymous gradingThe proposed workflow for the mobile application of anonymous grading is shown in figure 1